• 한국응용과학기술학회지
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• 제36권3호
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• pp.866-875
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• 2019

본 연구에서는 CMB(Chemical Mass Balance) 모델을 이용하여 $PM_{2.5}$에 대한 오염원 확인 및 오염원별 기여도를 분석하였다. A시의 배출원별 기여도 순위는 비산먼지(30.1%) > 생물성 연소(21.9%) > 2차 오염물질(21.1%) > 도로이동오염원(19.3%) > 면오염원(7.6%) 순이고, CMB 모델 기여도와 CAPSS(Clean Air Policy Support System) 배출자료 기여도 비교에서 증가한 배출원은 생물성 연소와 2차 오염물질이고, 감소한 배출원은 도로이동오염원, 비산먼지, 면오염원으로 분석되었다.

• 한국입자에어로졸학회지
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• 제5권3호
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• pp.139-148
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• 2009

2003년 12월 '수도권 대기환경 개선에 관한 특별법'이 국회를 통과하면서, 서울을 포함한 수도권 대기에서 미세먼지와 이산화질소 농도를 저감하는 것을 주요 목표로 하는 '수도권 대기환경관리 기본계 획'이 수립되었다. 휘발성유기화합물도 저감대상물질이며, 여러 오염배출원에서 저감하기 위한 계획이 수립되어 추진중이다. 효과적인 저감 대책을 수립, 시행하기 위해서는 정확한 추이와 현황, 그리고 주요 기여원을 알아야만 한다. 여기에서는 휘발성유기화합물의 서울에서의 대기 농도, 주요배출원에서의 배출 조성 측정 결과를 바탕으로 수용모델의 하나인 CMB를 활용한 결과와 배출량 자료를 비교하여 주요배출원을 파악하고 휘발성유기화합물 저감 대책을 수립할 경우 고려하여야 할 문제들을 검토하였다. 배출량 자료는 유기용제 사용이 가장 중요한 배출원이라고 산정하였으나, 이와는 다르게 CMB 모델 결과는 자동차 배출가스가 서울 대기의 휘발성유기화합물의 가장 중요한 배출원임을 보였다. CMB 모델에 사용된 대기 측정자료와 주요 배출원의 조성비, 모델 운용 과정을 검토한 결과 모델 결과는 신뢰도가 높은 것으로 판단하였다. 따라서 우리나라의 휘발성유기화합물 배출량 자료의 검증, 보완이 필요하다. 이와 함께 휘발성유기화합물 배출을 저감하는 목표(미세먼지 저감, 위해성 저감, 오존 저감 등)에 따라 구체적인 대상 성분과 대상 배출원을 정확하게 파악하여 정책을 집행하여야 함을 논의하였다.

• 한국입자에어로졸학회지
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• 제10권1호
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• pp.9-17
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• 2014

Several studies have been carried out on the source contribution of the particulate Polycyclic Aromatic Hydrocarbons (PAHs) over Seoul by using the Chemical Mass Balance Model (CMB)(Lee and Kim, 2007; Kim et al., 2013). To confirm the validity of the modeling results, the modified model employing a photochemical loss rate along with varying residence times and the standard model that considers no loss were compared. It was found that by considering the photochemical loss rate, a better performance was obtained as compared to those obtained from the standard model in the CMB calculation. The modified model estimated higher contributions from coke oven, transportation, and biomass burning by 4 to 8%. However, the order of the relative importance of major sources was not changed, coke oven followed by transportation and biomass burning. Thus, it was concluded that the standard CMB model results are reliable for identifying the relative importance of major sources.

• 한국환경과학회:학술대회논문집
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• 한국환경과학회 2000년도 정기총회 및 봄 학술발표회
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• pp.42-44
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• 2000

1999년 9월부터 2000년 2월까지 제주지역 에어로졸을 대상으로 측정분석된 자료를 토대로 오염원평가를 하고자 CMB모델을 수행하였다. 모델결과 조대입자에서는 자연적인 오염원으로 해염과 토양먼지등의 영향을 많이 받는 것으로 나타났고, 미세입자에서는 대체적으로 2차 오염물질의 영향을 많이 받고 있는 것으로 보아 오염물질이 외부에서의 유입, 대기중 오염물질의 장기체류로 인한 2차오염물질의 형성으로 사료된다.

• 한국대기환경학회지
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• 제22권2호
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• pp.157-166
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• 2006

Ambient TSP at four sites in Korea and soil samples from the source regions of Asian Dust in northern China were collected and analyzed for 15 metal components and 6 water-soluble ions to conduct a chemical mass balance (CMB). CMB receptor model was used to estimate the source contribution of TSP during the Asian Dust period, and the model results showed that China soil was the largest source contributor, accounting for 81% of TSP ($458.2{\mu}g/m^3$). Vehicle emission and geological sources contributed to about 8.8% and 4.4% of aerosol mass, followed by sea salt (1.5%) and secondary aerosol (2.9%). Fuel combustion and industrial process sources were found to be relatively minor contributors to TSP (${\leq}1%$). In addition to source contribution estimates, this study tried to identify the origin of Asian Dust observed in Korea. Among all 13 China soil profiles presented in this study, the most adoptable profile which can project the case well was selected and considered as the origin of the applied case.

• 환경영향평가
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• 제14권4호
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• pp.227-235
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• 2005

Source contribution for VOCs collected in Seoul metropolitan area was conducted using PAMs (Photochemical assessment monitoring system) data and CMB(Chemical Mass Balance) model8.0, in order to estimate spatial and temporal variations of VOCs source contribution in that area, and also to compare with corresponding emission inventory. VOCs data used in model calculation were collected at 6 different sites of PAMs(Seokmori, Guwoldong, Simgokdong, Bulgwangdong, Jeongdong and Yangpyeong) and 22 out of 56 VOCs species were analyzed from June 2002 to march 2003 and used for CMB model estimation. The result showed that vehicle exhaust, coating and energy combustion were important sources of VOCs in Seoul metropolitan area, averaging 32.6%, 25.5% and 25.1%, respectively. In this study as well as other references, it was revealed that vehicle exhaust is the main contributor of urban area VOCs, but there is remarkable contrast between emission inventory and model estimation. Vehicle exhaust portion is seriously underestimated while coating is usually overestimated in emission estimates, compared to CMB results. Therefore, it is considered to assert and confirm the uncertainty of emission estimates and clarify the distinction between two other source apportionment methods.

• 한국입자에어로졸학회지
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• 제12권2호
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• pp.27-36
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• 2016

The PMF result was compared with the result from the Chemical Mass Balance (CMB) modelling (Lee and Kim, 2007) to estimate major source of PAHs observed at Seoul from August 2002 to December 2003. Five major sources were estimated from PMF and CMB modellings respectively. Among them three major sources (coal combustion for residential, coke oven and biomass burning) were identified at both models.

• 한국대기환경학회지
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• 제8권4호
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• pp.229-239
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• 1992

A receptor model application was performed by using a chemical mass balance (CMB) model to identify and apportion the specific source of airborne organic pollutants, particularly polynuclear aromatic hydrocarbons (PAHs). Source profiles of PAHs produced from the combustion of fossil fuels for CMB modeling were prepared by measuring them in emission gases. The emission sources which were examineed for the development of PAH source profiles are a coal-fired furnace using Yontan, a bunker-C iol heating boiler, and gasoline-and diesel engine automobiles. The ambient concentrations of PAHs were determined at four sites in Daejon city in 1991 with a seasonal variation. Wintertime air samples contained more extractable organic matter than summertime samples. The results of CMB modeling were various depending on the sampling sites and seasons, but the emission from bunker-C oil heating boliers was the predominant factor to affect local air quality throughout the year.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 1992년도 제15회 대기보전학술연구발표회 요지집
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• pp.66-68
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• 1992

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2004년도 춘계학술대회 논문집
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• pp.61-62
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• 2004